ChinaHighTEMavg: Daily Seamless 1 km Average Air Temperature Dataset for China (2003–Present)

ChinaHighTEM is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution. Here is the big data-derived seamless (spatial coverage = 100%) daily 1 km (i.e., D1K) average air temperature (TEMavg) dataset for China from 2003 to the present. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.99 and a root-mean-square error (RMSE) of 1.18 ℃ on a daily basis. If you use the ChinaHighTEMavg dataset in your scientific research, please cite the following reference (Wang et al., SD, 2024): Wang, M., Wei, J., Wang, X., Luan, Q., and Xu, X. Reconstruction of all-sky daily air temperature datasets with high accuracy in China from 2003 to 2022. Scientific Data, 2024, 11, 1133. https://doi.org/10.1038/s41597-024-03980-z More CHAP datasets for different air pollutants are available at: https://weijing-rs.github.io/product.htmlChinaHighTEM数据集是面向中国的系列长期、无缝、高分辨率、高质量大气污染物数据集（ChinaHighAirPollutants，缩写CHAP）的组成部分。该数据集依托地面观测、卫星遥感产品、大气再分析资料及数值模式模拟等大数据源，结合大气污染的时空异质性，通过人工智能方法生成。 本数据集为2003年至今的中国逐日1公里（即D1K）分辨率、空间覆盖率100%的无缝逐日平均气温（TEMavg）大数据衍生数据集。该数据集具备优异的质量精度，逐日尺度下的交叉验证决定系数（CV-R²）达0.99，均方根误差（RMSE）为1.18℃。 若您在科研工作中使用ChinaHighTEMavg数据集，请引用如下文献（Wang等，《科学数据（Scientific Data）》，2024）： Wang, M., Wei, J., Wang, X., Luan, Q., Xu, X. 2003—2022年中国高精度全天空逐日气温数据集重建. 《科学数据（Scientific Data）》, 2024, 11, 1133. https://doi.org/10.1038/s41597-024-03980-z 更多针对不同大气污染物的CHAP数据集可通过以下链接获取：https://weijing-rs.github.io/product.html